Dataset Information

Employment impacts of the COVID-19 pandemic across metropolitan status and size.

ABSTRACT: We use individual-level data from the United States Current Population Survey to examine effects of the COVID-19 pandemic on employment losses across metropolitan area status and population size. Job losses spiked in April 2020, and partially recovered in subsequent months. Non-metropolitan and metropolitan areas of all sizes experienced significant employment losses, but the impacts were much larger in large metropolitan areas. The COVID-19 infection rate was initially higher in large metropolitan areas and this is a significant factor explaining the higher early employment losses in large metropolitan areas. However, higher job losses for large metropolitan areas persisted through summer and fall 2020 even after COVID-19 infection rates became higher in less populous areas. We find evidence of persistent effects of early COVID-19 infection rates on later employment.

SUBMITTER: Cho SJ

PROVIDER: S-EPMC8444738 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Employment impacts of the COVID-19 pandemic across metropolitan status and size.

Cho Seung Jin SJ Lee Jun Yeong JY Winters John V JV

Growth and change 20210813 4

We use individual-level data from the United States Current Population Survey to examine effects of the COVID-19 pandemic on employment losses across metropolitan area status and population size. Job losses spiked in April 2020, and partially recovered in subsequent months. Non-metropolitan and metropolitan areas of all sizes experienced significant employment losses, but the impacts were much larger in large metropolitan areas. The COVID-19 infection rate was initially higher in large metropoli ...[more]

PMID: 34548677

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Project description:ImportanceLittle is known about the functional correlates of post-COVID-19 condition (PCC), also known as long COVID, particularly the relevance of neurocognitive symptoms.ObjectiveTo characterize prevalence of unemployment among individuals who did, or did not, develop PCC after acute infection.Design, setting, and participantsThis survey study used data from 8 waves of a 50-state US nonprobability internet population-based survey of respondents aged 18 to 69 years conducted between February 2021 and July 2022.Main outcomes and measuresThe primary outcomes were self-reported current employment status and the presence of PCC, defined as report of continued symptoms at least 2 months beyond initial month of symptoms confirmed by a positive COVID-19 test.ResultsThe cohort included 15 308 survey respondents with test-confirmed COVID-19 at least 2 months prior, of whom 2236 (14.6%) reported PCC symptoms, including 1027 of 2236 (45.9%) reporting either brain fog or impaired memory. The mean (SD) age was 38.8 (13.5) years; 9679 respondents (63.2%) identified as women and 10 720 (70.0%) were White. Overall, 1418 of 15 308 respondents (9.3%) reported being unemployed, including 276 of 2236 (12.3%) of those with PCC and 1142 of 13 071 (8.7%) of those without PCC; 8229 respondents (53.8%) worked full-time, including 1017 (45.5%) of those with PCC and 7212 (55.2%) without PCC. In survey-weighted regression models excluding retired respondents, the presence of PCC was associated with a lower likelihood of working full-time (odds ratio [OR], 0.71 [95% CI, 0.63-0.80]; adjusted OR, 0.84 [95% CI, 0.74-0.96]) and with a higher likelihood of being unemployed (OR, 1.45 [95% CI, 1.22-1.73]; adjusted OR, 1.23 [95% CI, 1.02-1.48]). The presence of any cognitive symptom was associated with lower likelihood of working full time (OR, 0.70 [95% CI, 0.56-0.88]; adjusted OR, 0.75 [95% CI, 0.59-0.84]).Conclusions and relevancePCC was associated with a greater likelihood of unemployment and lesser likelihood of working full time in adjusted models. The presence of cognitive symptoms was associated with diminished likelihood of working full time. These results underscore the importance of developing strategies to treat and manage PCC symptoms.

Project description:BackgroundWhile the impact of the COVID-19 recession on the economy is clear, there is limited evidence on how the COVID-19 pandemic-related job losses among low-income people may have affected their access to health care.ObjectiveTo determine the association of job loss during the pandemic with insurance coverage and access to and affordability of health care among low-income adults.DesignUsing a random digit dialing telephone survey from October 2020 to December 2020 of low-income adults in 4 states-Arkansas, Kentucky, Louisiana, and Texas-we conducted a series of multivariable logistic regression analyses, adjusting for demographics, chronic conditions, and state of residence.ParticipantsUS citizens aged 19-64 with a family income less than 138% of the federal poverty line who became newly unemployed during pandemic, remained employed during pandemic, or were chronically unemployed before and during the pandemic.Main measuresRates of insurance, type of insurance coverage, measures of access to/affordability of care, and food/housing security KEY RESULTS: Of 1,794 respondents, 14.5% were newly unemployed, 49.6% were chronically unemployed, and 35.7% were employed. The newly unemployed were slightly younger and more likely Black or Latino. The newly unemployed were more likely to report uninsurance compared to the employed (+16.4 percentage points, 95% CI 6.0-26.9), and the chronically unemployed (+26.4 percentage points, 95% CI 16.2-36.6), mostly driven by Texas' populations. The newly unemployed also reported lower rates of access to care and higher rates of financial barriers to care. They were also more likely to report food and housing insecurity compared to others.ConclusionsIn a survey of 4 Southern States during pandemic, the newly unemployed had higher rates of uninsurance and worse access to care-largely due to financial barriers-and reported more housing and food insecurity than other groups. Our study highlights the vulnerability of low-income populations who experienced a job loss, especially in Texas, which did not expand Medicaid.

Dataset Information

Employment impacts of the COVID-19 pandemic across metropolitan status and size.

Publications

Employment impacts of the COVID-19 pandemic across metropolitan status and size.

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